Triple
T18422122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shadows |
E442047
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Jet Harris |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jet Harris | Statement: [The Shadows, member, Jet Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Harris Context triple: [The Shadows, member, Jet Harris]
-
A.
Jet Harris
chosen
Jet Harris was an English bass guitarist best known as an original member of The Shadows and a prominent figure in early British rock and roll.
-
B.
Jon Harris
Jon Harris is a film editor known for his work on major feature films such as "127 Hours," "The Descent," and "Gravity."
-
C.
Craig Harris
Craig Harris is an American jazz trombonist and composer known for his innovative work in avant-garde jazz and film scores, including the soundtrack for "Judas and the Black Messiah."
-
D.
Keith Harris
Keith Harris is an American record producer, songwriter, and multi-instrumentalist best known for his work with major pop and R&B artists such as the Black Eyed Peas.
-
E.
Keith Harris
Keith Harris is a writer known for his contributions to the music and entertainment publication OMG.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.